Priyam Garg

Contributed to the development of ConsumerHub, a social media analytics platform, by creating NLP solutions that addressed unique challenges across diverse industries, enabling data-driven decision-making. Implemented aspect based sentiment analysis and developed a versatile approach applicable across different sectors, leveraging GenAI for content filtration achieving a 91% accuracy. Implemented Extractive Text Summarization, employing graph-based ranking algorithms such as TextRank and LexRank. Additionally, integrated Abstractive Text Summarization utilizing a pre-trained model. Applied the RAG (Retrieval Augmented Generation) approach, powered by OpenAI, for a prominent CPG client, enabling comprehensive analysis and actionable insights. Collaborated with consulting teams to formulate KPIs, facilitating data-driven decision-making processes for business optimization. Leveraged open source LLM model, with 95% GPU utilization, for consumer perception and competitor analysis in a tech client's phone launch. Integrated cost-effective solutions through advanced NLP and LLM methods, optimizing outcomes while minimizing expenses.

Developed a robust classification model for a question answering system, accurately categorizing questions into distinct groups such as descriptions, locations, and more, achieving 84% accuracy. Implemented a text retrieval system leveraging Elasticsearch, facilitating extraction of relevant paragraphs to enhance query responses. Utilized pandas to standardize the format of financial statements for non-life insurance companies.